Results 111 to 120 of about 2,165 (200)

Intrinsic priors for testing exponential means

In Bayesian model selection or testing problems of different dimensions, one cannot utilize standard or default noninformative priors, since these priors are typically improper and are defined only up to arbitrary constants.
Kim, Seong W.
core  

A Representation Theorem and Applications to Measure Selection

, 2003
with Uncertainty (ECSQARU-2003). We introduce a set of transformations on the set of all probability distributions over a finite state space, and show that these transformations are the only ones that preserve certain elementary probabilistic ...
Noninformative Priors, Manfred Jaeger
core  

Noninformative priors for product of exponential means

Journal of the Korean Data and Information Science Society, 2015
Sang Gil Kang, Dal Ho Kim, Woo Dong Lee
openaire   +2 more sources

Default Priors for Neural Network Classification

, 2005
Feedforward neural networks are a popular tool for classification, offering a method for fully flexible modeling. This paper looks at the underlying probability model, so as to understand statistically what is going on in order to facilitate an ...
Herbert K. H. Lee
core  

Bayes factor hypothesis testing in meta-analyses: Practical advantages and methodological considerations. [PDF]

Res Synth Methods
Mulder J, van Aert RCM.
europepmc   +1 more source

Impact of Methicillin-Resistant <i>Staphylococcus aureus</i> Nasal Screening in Lower Respiratory Tract Infections: A Systematic Review Incorporating Network and Bayesian Meta-Analyses. [PDF]

Open Forum Infect Dis
Timbrook TT, Zhang Z, Krekel T.
europepmc   +1 more source

Noninformative Priors for Multivariate Linear Calibration

This paper derives a class of first order probability matching priors and a complete catalog of the reference priors for the general multivariate linear calibration problem.
Yin, Ming
core  

Sensitivity analysis in Bayesian clinical trials was underused and poorly reported: a systematic survey. [PDF]

BMC Med Res Methodol
Yao M, Huan J, Liang Q, Jie W, Wang M, Ma Y, Mei F, Liu Y, Xiong Y, Li L, Sun X.   +10 more
europepmc   +1 more source

Prior Ground: Selection of Prior Distributions When Analyzing Clinical Trial Data Using Bayesian Methods. [PDF]

NEJM Evid, 2023
Siddique J, Aghabazaz Z.
europepmc   +1 more source

Path Analysis With Mixed-Scale Variables: Categorical ML, Least Squares, and Bayesian Estimations. [PDF]

Educ Psychol Meas
Liang X, Castro P, Cao C, Lo WJ.
europepmc   +1 more source